Senior Model Risk Manager

JR Germany; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A cutting-edge technology-driven bank in Berlin seeks a Senior Model Risk Manager to lead model risk management processes. The role involves overseeing validations, providing strategic insights, and fostering a culture of continuous improvement within the team. Join a diverse team committed to innovation and excellence in risk management.

Qualifikationen

• 7+ years in model validation, development, or risk management.
• Strong leadership experience managing teams.

Aufgaben

• Lead and develop the Model Risk Management team.
• Oversee model validations for risk and compliance.
• Act as primary contact for model risk-related matters.

Kenntnisse

Statistical Methods

Machine Learning

Data Quality Analysis

Communication

Stakeholder Management

Critical Thinking

Ausbildung

Master's in Statistics

Master's in Mathematics

Master's in Business/Economics

Tools

Python

SQL

Jobbeschreibung

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Are you ready to take the next step in your career? N26 is looking for a Senior Model Risk Manager to lead and further develop the model risk and validation function as part of risk controlling at a cutting-edge technology-driven bank.

Who we are

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Role Overview

In this role, you will take ownership of model risk management processes, ensuring alignment with the latest regulations and industry best practices. As the leader of the Model Risk Management team, you will provide strategic direction, oversee model validation processes, and guide team members in developing and implementing robust risk frameworks. You will play a pivotal role in assessing, controlling, and reporting N26's model risks while ensuring effective collaboration across various teams and stakeholders. Join us and be part of a team that values collaboration, innovation, and excellence.

Responsibilities

1. Lead and develop the Model Risk Management team, providing guidance, mentorship, and expertise in risk model validation and governance.
2. Oversee the development and optimisation of the model risk framework, validation methodologies, and governance structures to embed strong model risk management practices throughout the model lifecycle.
3. Independently perform and oversee model validations for risk (Pillar I & II) and AFC models, ensuring compliance with internal policies and regulatory requirements.
4. Act as the primary point of contact for model risk-related matters, engaging with internal and external stakeholders, including auditors and regulators.
5. Provide strategic insights into model risk exposure, ensuring risks are effectively monitored and managed in line with business objectives.
6. Foster a culture of continuous improvement by identifying opportunities to enhance model performance, governance, and efficiency.

Background

• Quantitative academic background: Master's in statistics, mathematics, business/economics, or a similar field with a quantitative focus.
• Extensive experience in model risk management, with 7+ years in model validation, development, or risk management, covering areas such as Credit Risk, Market Risk, Liquidity Risk, Financial Crime, Finance & Treasury
• Strong leadership experience, including managing teams, mentoring junior colleagues, and driving strategic model risk initiatives.
• Deep subject matter expertise in risk and/or financial crime, with a strong understanding of relevant regulations (e.g., MaRisk, IFRS 9, EBA Guidelines, EU AI Act, SR 11-7).
• Proven experience in model risk governance frameworks, including model inventory management, risk ratings, and model validation methodologies.

Skills

• Advanced methodological proficiency: Strong knowledge of statistical and Machine Learning methods, hypothesis testing, and data quality analysis techniques. Good understanding of model evaluation metrics in various areas, covering both qualitative and quantitative validation aspects.
• Technical expertise: Hands-on experience with Python and SQL for model validation and risk assessment.
• Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.
• Track record in leading complex projects, ensuring successful delivery under tight deadlines.
• Entrepreneurial mindset with a proactive and solution-driven approach to challenges.
• Hands-on approach and eagerness to tackle new topics while demonstrating a quick grasp in conceptual project work and strategic thinking
• Fluent in English, German is a plus.
• Strong ownership mindset with a bias for action.
• Critical thinking and a drive to improve the status quo.
• Passion for data and complex problem-solving.
• Ability to balance conceptual thinking with attention to detail.
• Adaptability in a fast-changing environment.
• Actively help yourself and the team be successful
• Commitment to continuous learning and professional development.

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential. We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination.